BayeScanOpts-class: BayeScanOpts: An S4 class to represent BayeScan parameters
In jeffreyhanson/bayescanr: BayeScan Analysis in R
Description
This class stores input parameters for the BayeScan program.
Slots
threadsnumeric number of threads used for computation. Defaults to 1.
repsnumeric number of replicate runs. Defaults to 3.
nnumeric number of outputted iterations. Defaults to 5000.
thinnumeric thinning interval size. Defaults to 10.
nbpnumeric number of pilot runs. Defaults to 20.
pilotnumeric length of pilot runs. Defaults to 5000.
burnnumeric burn-in length. Defaults to 50000.
fdrnumeric false discovery rate used to classify loic as adaptive. Defaults to 0.1.
See Also
jeffreyhanson/bayescanr documentation built on May 19, 2019, 4 a.m.
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Description
This class stores input parameters for the BayeScan program.
Slots
threadsnumericnumber of threads used for computation. Defaults to 1.repsnumericnumber of replicate runs. Defaults to 3.nnumericnumber of outputted iterations. Defaults to 5000.thinnumericthinning interval size. Defaults to 10.nbpnumericnumber of pilot runs. Defaults to 20.pilotnumericlength of pilot runs. Defaults to 5000.burnnumericburn-in length. Defaults to 50000.fdrnumericfalse discovery rate used to classify loic as adaptive. Defaults to 0.1.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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